GNNGLY: Graph Neural Networks for Glycan Classification

GNNGLY: Graph Neural Networks for Glycan Classification

Glycans are important biological molecules that can be found on their own or attached to other molecules. They have complex, branching structures that do not follow the linear structure. Glycans are crucial for many biological processes and they are involved in the development of several important d...

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Bibliographic Details
Main Authors: Alhasan Alkuhlani, Walaa Gad, Mohamed Roushdy, Abdel-Badeeh M. Salem
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Glycan
glycoinformatics
machine learning
graph neural networks
graph convolutional networks
Online Access:https://ieeexplore.ieee.org/document/10135098/

Internet

https://ieeexplore.ieee.org/document/10135098/

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